CN111723992A - Park comprehensive energy scheduling method considering multi-energy coupling loss - Google Patents
Park comprehensive energy scheduling method considering multi-energy coupling loss Download PDFInfo
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Abstract
A park comprehensive energy scheduling method considering multi-energy coupling loss comprises the following steps: collecting measurement data of multi-energy equipment in a park; analyzing the running state of the multi-energy equipment to find out a linkage action protection scheme corresponding to the minimum fault loss; judging whether the multi-energy equipment fails, if so, carrying out next multi-energy coupling loss analysis, and if not, jumping to multi-energy scheduling game analysis; multi-energy coupling loss analysis: obtaining the comprehensive coupling loss rate of the energy sources in the park in all coupling processes by adopting matrix calculation; and (3) comprehensive calculation of multi-energy flow: calculating by combining the transmission and coupling loss of the energy flows of various energy sources in the park to obtain the estimated state of multiple energy sources; and (3) multi-energy scheduling risk assessment: obtaining the multi-energy scheduling risk according to the number of switches in the park, the failure probability of the switches and the failure repair rate; multi-energy scheduling game analysis: and carrying out dynamic game analysis on the multi-energy scheduling influence factors to determine an optimal comprehensive energy scheduling scheme.
Description
Technical Field
The invention relates to the field of energy scheduling, in particular to a park comprehensive energy scheduling method considering multi-energy coupling loss
Background
The comprehensive energy system comprises: the comprehensive energy system is characterized in that advanced physical information technology and innovative management modes are utilized in a certain area, multiple energy sources such as coal, petroleum, natural gas, electric energy and heat energy in the area are integrated, and coordinated planning, optimized operation, cooperative management, interactive response and complementary mutual assistance among multiple heterogeneous energy subsystems are achieved. The energy utilization efficiency is effectively improved and the sustainable development of energy is promoted while the diversified energy utilization requirements in the system are met.
And (3) comprehensive energy scheduling: the comprehensive energy dispatching is used as an important component of economic and technical optimization in the comprehensive energy operation of a park, and aims to meet the load requirements of various energy sources through optimized distribution and reasonable arrangement of multi-energy complementary supply to minimize the total operating cost of a system on the premise of meeting the operation constraints of various energy source units such as water, electricity, gas and heat.
Energy coupling: the energy production type coupling element consumes one type of energy and produces another type of energy required by the user. For example, the process of converting gas into electricity is called energy coupling.
Energy coupling loss: the loss generated in the process of energy conversion, for example, the conversion energy consumed by the combined cooling heating and power unit in the process of converting fuel gas into electricity, is energy coupling loss.
With the rapid development of the social economy of China, the total energy demand is increased sharply, the cooperative supply capacity of each energy operator is insufficient, the contradiction between energy supply and demand in the society is increasingly prominent, and the comprehensive utilization of energy and the development of low-carbon economy of China are seriously influenced. In order to solve the problem of comprehensive utilization of energy, at present, China starts an internet plus intelligent energy revolution taking a smart power grid as a core, adopts novel technologies such as power electronics, information, intelligent management and control and the like, and connects various distributed supply devices such as water, electricity, gas, heat and the like, storage devices and various loads together to form an energy internet so as to realize multidirectional flow and energy exchange of various types of energy.
At present, comprehensive energy scheduling at home and abroad is mainly based on factors such as supplier market, park differentiation, network transmission loss and the like to carry out comprehensive energy scheduling, and the analysis of coupling conversion loss among various types of energy is lacked. If a more economical multi-time scale comprehensive energy scheduling is to be realized, the problem of coupling conversion loss among multiple energy sources needs to be considered.
Aiming at the problem that the comprehensive energy scheduling cannot realize the optimization in the current research, a scheme for comprehensively considering the coupling conversion loss among various energy sources so as to carry out day-ahead scheduling and real-time response control on various energy devices and achieve the optimal comprehensive energy utilization is urgently needed.
Disclosure of Invention
The invention aims to: the method mainly considers the energy conversion loss influence of a cogeneration unit and a gas turbine, combines the fault analysis and risk evaluation of multi-energy equipment in the park, performs dynamic game analysis, and finally determines an optimal comprehensive energy scheduling scheme with the minimum overall operation cost, thereby solving the problems.
The technical scheme adopted by the invention is as follows:
a park comprehensive energy scheduling method considering multi-energy coupling loss comprises the following steps:
collecting measurement data of multi-energy equipment in a park;
analyzing the running state of the multi-energy equipment, and finding out a linkage action protection scheme corresponding to the minimum fault loss when a fault occurs;
judging whether the multi-energy equipment fails, if not, performing multi-energy coupling loss analysis of the next step, and if so, jumping to multi-energy scheduling game analysis;
multi-energy coupling loss analysis: obtaining the comprehensive coupling loss rate of the energy sources in the park in all coupling processes by adopting matrix calculation;
and (3) comprehensive calculation of multi-energy flow: calculating to obtain the multi-energy estimation states of all the energy sources by combining the transmission and coupling loss of the energy flows of various energy sources in the park;
and (3) multi-energy scheduling risk assessment: obtaining the multi-energy scheduling risk according to the number of switches in the park, the failure probability of the switches and the failure repair rate;
multi-energy scheduling game analysis: and carrying out dynamic game analysis on the influence factors of multi-energy scheduling in the park to determine the optimal comprehensive energy scheduling scheme with the minimum overall operation cost.
In order to better implement the scheme, the method for collecting the measurement data of the multi-energy equipment in the park comprises the following steps: the comprehensive energy measurement and control terminal of the park is adopted for networking, distributed resource characteristic perception, fault recognition, full topology connectivity analysis and multi-energy device control of different energy devices in the park are achieved in a multi-concurrent acquisition mode, and data support is provided for subsequent steps.
In order to better implement the scheme, further, the method for analyzing the operating state of the multi-energy device comprises the following steps: loss of failure LjThe minimum is:
wherein m is the number of energy elements in the garden, n is the number of coupling elements, the element J has two states of normal Ja and abnormal Jb, Jk represents the fault probability of the element J, and Lc represents the economic loss brought by the fault.
In order to better implement the scheme, further, the method for analyzing the coupling loss of the multiple energy sources comprises the following steps: establishing a total energy coupling matrix ResIs composed of
Wherein, Ω m is coupling input energy, Ω n is coupling output energy, Rea is electric energy converted into heat loss electric energy, Reb is electric energy lost by electric energy refrigeration, Rec is gas energy converted into electric energy loss, Red is gas energy converted into heat loss gas energy, Ree is gas energy lost by gas refrigeration, the number of coupling times is n, and the coupling time is t;
the integrated coupling loss rate Des is
Wherein Ries is the total output amount of electric energy, heat energy and refrigeration energy in the garden.
In order to better implement the scheme, further, the method for comprehensively calculating the multi-energy flow comprises the following steps: the minimum value of the multi-energy estimation state F (x) is
Wherein
For multi-energy measurement data, x is the state value, U (x) is the measurement function, η is the measurement error, and t is the measurement time.
In order to better implement the scheme, further, the method for evaluating the risk of multi-energy scheduling comprises the following steps: multiple energy scheduling risk beta of
Wherein n is the number of adjustable switches in the park and gamma isThe probability of the switch failing is regulated and controlled,
and sigma is a probability correction factor of the fault, and β is the multi-energy scheduling risk.
In order to better implement the scheme, further, the method for analyzing the multi-energy scheduling game comprises the following steps:
determining the cost C of new energy consumption inside a parknpIs composed of
Wherein C isnpaCost for photovoltaic power generation, CnpbCost of electricity generation for renewable energy sources, CnpcFor the cost of wind power generation, t1 is the consumption time of new energy in the park within the comprehensive energy use time of the park;
determining the consumption cost C of external energy in a parkpIs composed of
Wherein C ispaCost of electricity purchase to the grid company, CpbCost to purchase gas to gas companies, CpcCost of purchasing heat to the heating company, CpdTo purchase refrigeration costs from the cooling companies, CpeTo purchase water cost to the water utility company, t2 is the consumption time of external energy within the comprehensive energy use time of the park;
determining multi-energy coupling loss cost ClcIs composed of
Wherein C islcaFor the cost of the loss of electrical energy to heat,Clcbcost of electric energy consumption for refrigerationlccCost for conversion of gas into electric energy loss, ClcdCost for conversion of gas into heat energy loss, ClceFor the cost of gas refrigeration loss, t3 is the multi-energy coupling time within the comprehensive energy use time of the park;
determining transmission loss C of multiple energy sourcesleIs composed of
Wherein C isleaFor transmission loss of electric energy, ClebFor transmission loss of gas energy, ClecFor heat energy transmission loss, CledFor transmission loss of cold energy, CleeFor water transmission loss, t4 is the transmission time of multiple energy sources within the usage time of the comprehensive energy sources in the park; (ii) a
Determining energy storage cost C for a campussIs composed of
Wherein C issaFor the operating cost of the accumulator, CscFor the operating costs of the heat storage apparatus, CsdFor the operating cost of the energy storage device, t5 is the storage time of the energy within the comprehensive energy use time of the park;
global statistical mean E [ β ] for deep learning]Is composed of
Where β is the historical control strategy, mtThe historical control times;
global statistical variance Var [ β]Is composed of
The deep learning batch normalization correction factor △ h is
Deep learning model based bindingObtaining the total operation cost C of the park comprehensive energy system by the dynamic game algorithmtThe minimum min Ct of (c) is:
wherein △ f is the adjustable energy flow, tzThe comprehensive energy utilization time of the park is prolonged.
In order to better implement the scheme, further, the scheduling model of the dynamic game satisfies the following constraints:
energy consumption load P of parkmSatisfies the following conditions: pm＝Pnp+Pp+Ps-Plc-Ple；
Wherein P isnpIs the energy flow, P, generated by the new energy in the park per unit timepIs a stream of energy purchased per unit time from an external energy company, PsIs the energy flow stored per unit time, PlcIs the energy flow of the multi-energy coupling loss in unit time, PleIs the energy flow of the multi-energy transmission loss in unit time;
consumption load electric energy P of garden in unit timeaQi energy PbHeat energy PcCold energy PdAnd water energy PeRespectively satisfying the constraint conditions:
Pa＝Pnpa+Pnpb+Pnpc+Ppa+Psa+(Plcd/m％-Plcd)-Plca/m％-Plcb/m％-Plea；
Pb＝Ppb-Plcc/m％-Plcd/m％-Plce/m％-Pleb；
Pc＝Ppc+(Plca/m-Plca)+(Plcd/m-Plcd)+Psc-Plec；
Pd＝Ppd+(Plcb/m-Plcb)+(Plce/m-Plce)+Pse-Plee；
Pe＝Ppe-Plee；
wherein m% is the loss rate, Pnpa、Pnpb、PnpcRespectively representing the energy flow of photovoltaic power generation, the energy flow of renewable energy power generation and the energy flow of wind power generation in unit time, Ppa、Ppb、Ppc、Ppd、PpeRespectively representing the energy flow of an external power grid company, the energy flow of a gas company, the energy flow of a heat supply company, the energy flow of a cold supply company and the energy flow of a water service company within a unit time; plca、Plcb、Plcc、Plcd、PlceRespectively representing energy flow of electric energy conversion into heat loss, energy flow of electric energy refrigeration loss, energy flow of gas conversion into electric energy loss, energy flow of gas conversion into heat energy loss and energy flow of gas refrigeration loss in unit time; plea、Pleb、Plec、Pled、PleeRespectively representing the energy flow of electric energy transmission loss, the energy flow of gas energy transmission loss, the energy flow of heat energy transmission loss, the energy flow of cold energy transmission loss and the energy flow of water energy transmission loss in unit time; psa、Psc、PsdRespectively representing the energy flow of the storage battery, the energy flow of the heat storage device and the energy flow of the cold storage device in unit time;
energy flow P of photovoltaic power generation in unit timenpaSatisfy Pnpa.min≤Pnpa+ΔPn≤Pnpa.max(ii) a Wherein P isnpa.minAnd Pnpa.maxRespectively representing the lower limit and the upper limit of the generated power of the new energy unit of the park, △ PnIndicating the power corresponding to the adjustable load;
energy flow P for generating electricity from renewable energy sources in unit timenpbSatisfy Pnpb.min≤Pnpb+ΔPn≤Pnpb.max(ii) a Wherein P isnpb.minAnd Pnpb.maxRespectively representing the lower limit and the upper limit of the generating power of the park renewable energy source generating set;
energy flow P of wind power generation in unit timenpcSatisfy Pnpc.min≤Pnpc+ΔPn≤Pnpc.max(ii) a Wherein P isnpc.minAnd Pnpc.maxRespectively representing the lower limit and the upper limit of the generated power of the park wind generating set;
energy flow P of the accumulator per unit timesaSatisfy Psa.min≤Psa+ΔPs≤Psa.maxWherein psa.min and psa.max represent the lower limit and the upper limit of the battery capacity, respectively, and △ Ps is the adjustable storage capacity;
energy flow P of the heat storage device per unit timescSatisfy Psc.min≤Psc+ΔPs≤Psc.max；
Energy flow P of cold storage device in unit timesdSatisfy Psd.min≤Psd+ΔPs≤Psd.max；
Energy flow P for converting electric energy into heat loss in unit timelcaSatisfy Plca.min≤(Plca/m％-Plca)+ΔPlc≤Plca.minIn which P islca.minAnd Plca.maxRespectively representing the lower and upper limits of the power to convert electrical energy into heat, △ PlcIs an adjustable storage capacity;
energy flow P of electric energy refrigeration loss in unit timelcbSatisfy Plcb.min≤(Plcb/m％-Plcb)+ΔPlc≤Plcb.minIn which P islcb.minAnd Plcb.maxRespectively representing the lower limit and the upper limit of the power of electric energy refrigeration;
the energy flow Plcc of the gas conversion into electric energy loss per unit time satisfies Plcc.min≤(Plcc/m％-Plcc)+ΔPlc≤Plcc.minIn which P islcc.minAnd Plcc.maxRespectively representing the lower limit and the upper limit of the power of the gas converted into the electric energy;
energy flow P lost by conversion of gas into heat energy per unit timelcdSatisfy Plcd.min≤(Plcd/m％-Plcd)+ΔPlc≤Plcd.minIn which P islcd.minAnd Plcd.maxRespectively representing the lower limit and the upper limit of the power of converting the gas into the heat energy;
energy flow P of gas refrigeration loss per unit timelceSatisfy Plce.min≤(Plce/m％-Plce)+ΔPlc≤Plce.minIn which P islce.minAnd Plce.maxRespectively representing the lower limit and the upper limit of the power of gas refrigeration;
and energy flow P of external grid company within unit timepaGas company's energy flow PpbEnergy flow P of a heating companypcEnergy flow P of a cooling companypdAnd energy flow P of water utilitiespeSatisfy the requirement of
Wherein P ispa.max、Ppb.max、Ppc.max、Ppd.max、Ppe.maxThe upper limit of the transmission power of the external power grid company, the upper limit of the transmission power of the gas company, the upper limit of the transmission power of the heat supply company, the upper limit of the transmission power of the cold supply company and the upper limit of the transmission power of the water company are respectively shown.
In this scheme, to the comprehensive dispatch of the multipotency source in the garden (synthesize energy dispatch promptly), the trouble problem of multipotency source equipment has at first been considered, and the guarantee is when breaking down, and under the prerequisite that the energy can be supplied with to the energy supply system in the garden, the loss that the reduction trouble brought, then acquires the most leading energy loss in the garden, and in this scheme, focus on the cost of consumption C of the inside new forms of energy in gardennpConsumption cost of external energy in park CpMultiple energy source coupling loss cost ClcTransmission loss C of multiple energy sourcesleEnergy storage cost C of the parksThe five maximum energy consumptions finally determine the total operation cost C of the park integrated energy systemtMinimum value of (3 min C)tBecause the energy loss in the park is dynamically changed, in the dynamic game model, the back participants can be adjusted according to the selection of the front participants, so the scheme adopts the dynamic game model, when the energy loss of a certain type is changed, in the scheduling model of the dynamic game,subsequent costs can be adjusted to meet the constraint conditions, and the minimum overall running cost min C in the dynamic game model is found under the condition that the constraint conditions are mettThus, the minimum overall running cost min C in the model can be achieved regardless of the variation of certain running costs (i.e., participants) in the dynamic gaming modeltFor parks without some energy sources in the model, the corresponding energy sources and the corresponding energy sources in the formula are removed, and for these parks, if the scheme of the invention is used, the protection scope of the invention also falls.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. according to the park comprehensive energy scheduling method considering the multi-energy coupling loss, the energy conversion loss influence of a cogeneration unit and a gas turbine is mainly considered, the fault analysis and risk evaluation of multi-energy equipment in a park are combined, dynamic game analysis is carried out, an optimal comprehensive energy scheduling scheme with the minimum overall operation cost is finally determined, the operation cost of park comprehensive energy is reduced, and the energy efficiency utilization level of the park is improved;
2. the invention relates to a park comprehensive energy scheduling method considering multi-energy coupling loss, which mainly considers the energy conversion loss influence of a thermoelectric coupling unit and a gas turbine, combines fault analysis and risk evaluation of multi-energy equipment in a park, performs dynamic game analysis, finally determines an optimal comprehensive energy scheduling scheme with the minimum overall operation cost, takes various energy supply, energy loss and consumption load in the park as dynamic game factors, and can still provide the comprehensive energy scheduling scheme with the lowest cost when some dynamic game factors change.
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In order to more clearly illustrate the technical solution, the drawings needed to be used in the embodiments are briefly described below, and it should be understood that, for those skilled in the art, other related drawings can be obtained according to the drawings without creative efforts, wherein:
FIG. 1 is a block flow diagram of the present invention;
fig. 2 is a corresponding system framework diagram of the present invention.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and therefore should not be considered as a limitation to the scope of protection. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The present invention will be described in detail with reference to fig. 1 to 2.
Example 1:
a campus comprehensive energy scheduling method considering multi-energy coupling loss is disclosed, as shown in FIG. 1, and includes the following steps:
collecting measurement data of multi-energy equipment in a park;
analyzing the running state of the multi-energy equipment, and finding out a linkage action protection scheme corresponding to the minimum fault loss when a fault occurs;
judging whether the multi-energy equipment fails, if so, performing next multi-energy coupling loss analysis, and if not, jumping to multi-energy scheduling game analysis;
multi-energy coupling loss analysis: obtaining the comprehensive coupling loss rate of the energy sources in the park in all coupling processes by adopting matrix calculation;
and (3) comprehensive calculation of multi-energy flow: calculating to obtain the multi-energy estimation states of all the energy sources by combining the transmission and coupling loss of the energy flows of various energy sources in the park;
and (3) multi-energy scheduling risk assessment: obtaining the multi-energy scheduling risk according to the number of switches in the park, the failure probability of the switches and the failure repair rate;
multi-energy scheduling game analysis: and carrying out dynamic game analysis on the influence factors of multi-energy scheduling in the park to determine the optimal comprehensive energy scheduling scheme with the minimum overall operation cost.
The working principle is as follows: the economic loss problem that the loss of the fault problem and the various forms energy of the multi-energy equipment in this scheme combination garden brought, the fault problem of multi-energy equipment has at first been considered, the guarantee is when breaking down, under the prerequisite that the energy can be supplied with to the energy supply system in the garden, reduce the loss that the trouble brought, then obtain the most leading energy loss in the garden, adopt dynamic game analysis algorithm, combine various energy loss cost, when making the energy use in the garden, can be on the basis that satisfies the requirement, select the best comprehensive energy scheduling scheme of minimum overall running cost, and when energy loss wherein changes, change the scheme thereupon.
Example 2:
on the basis of the above embodiment 1, the method for collecting the measurement data of the multi-energy device in the park includes: the comprehensive energy measurement and control terminal of the park is adopted for networking, distributed resource characteristic perception, fault recognition, full topology connectivity analysis and multi-energy device control of different energy devices in the park are achieved in a multi-concurrent acquisition mode, and data support is provided for subsequent steps. The monitoring device for various energy sources such as electricity, gas, heat, cold, water and the like in the park is different in communication mode and communication protocol, and difficult in data centralized measurement and control, so that the park comprehensive energy source measurement and control terminal is adopted for networking, and the park comprehensive energy source measurement and control terminal is networked in modes such as power line carrier, micropower wireless, LORA, optical fiber and the like, and various distributed functions are realized in a multi-concurrent acquisition mode.
The method for analyzing the running state of the multi-energy equipment comprises the following steps: loss of failure LjThe minimum is:
wherein m is the number of energy elements in the garden, n is the number of coupling elements, the element J has two states of normal Ja and abnormal Jb, Jk represents the fault probability of the element J, and Lc represents the economic loss brought by the fault. The minimum fault loss min L after multi-energy fault protection when a fault occurs is determined by the two stepsjTherefore, the loss of the comprehensive energy dispatching scheme of the park is ensured to be minimum when a fault occurs.
The method for analyzing the coupling loss of the multiple energy sources comprises the following steps: establishing a total energy coupling matrix ResIs composed of
Wherein, Ω m is coupling input energy, Ω n is coupling output energy, Rea is electric energy converted into heat loss electric energy, Reb is electric energy lost by electric energy refrigeration, Rec is gas energy converted into electric energy loss, Red is gas energy converted into heat loss gas energy, Ree is gas energy lost by gas refrigeration, the number of coupling times is n, and the coupling time is t;
the integrated coupling loss rate Des is
Wherein Ries is the total output amount of electric energy, heat energy and refrigeration energy in the garden.
In an energy system composed of multi-energy equipment in a park, due to the fact that time scales of each system of electricity, gas, heat, cold and water are different, dynamic processes of the systems are different, transmission and coupling loss of energy flows in the park need to be considered comprehensively in multi-energy flow comprehensive calculation, state estimation conditions are provided, and data support is provided for park comprehensive energy scheduling. The method for comprehensively calculating the multi-energy flow comprises the following steps: the minimum value of the multi-energy estimation state F (x) is
Wherein
For multi-energy measurement data, x is the state value, U (x) is the measurement function, η is the measurement error, and t is the measurement time.
In the comprehensive energy scheduling of the park, the risks of the whole process of multi-energy scheduling need to be comprehensively considered, and firstly, the load loss, the energy flow out-of-limit, the heavy overload of equipment and the like after the scheduling action is executed under the normal condition of a control switch need to be considered; secondly, considering the associated fault risk of each energy device under the condition that the control switch is invalid; and finally, obtaining the overall risk of multi-energy scheduling according to the failure risk and the operation risk of the combined control switch. Specifically, the method for evaluating the risk of multi-energy scheduling comprises the following steps: multiple energy scheduling risk beta of
Wherein n is the number of the adjustable switches in the garden, gamma is the probability of the adjustable switches failing,
and sigma is a probability correction factor of the fault, and β is the multi-energy scheduling risk.
In a dynamic game of multi-energy scheduling, a rear participant can be adjusted according to the selection of a front participant, and a park comprehensive energy scheduling model based on the dynamic game aims to use the lowest overall system operation cost in the multi-energy scheduling model, control the goal of maximally realizing the consumption cost of new energy in a park and the minimization of realizing the external energy supply cost, the multi-energy coupling loss cost and the operation cost (including transmission and energy storage cost) of a combined cooling heating and power system, specifically, the method for analyzing the multi-energy scheduling game comprises the following steps:
determining the cost C of new energy consumption inside a parknpIs composed of
Wherein C isnpaCost for photovoltaic power generation, CnpbCost of electricity generation for renewable energy sources, CnpcFor the cost of wind power generation, t1 is the consumption time of new energy in the park within the comprehensive energy use time of the park;
determining the consumption cost C of external energy in a parkpIs composed of
Wherein C ispaCost of electricity purchase to the grid company, CpbCost to purchase gas to gas companies, CpcCost of purchasing heat to the heating company, CpdTo purchase refrigeration costs from the cooling companies, CpeTo purchase water cost to the water utility company, t2 is the consumption time of external energy within the comprehensive energy use time of the park;
determining multi-energy coupling loss cost ClcIs composed of
Wherein C islcaCost of losses for conversion of electrical energy into heat, ClcbCost of electric energy consumption for refrigerationlccCost for conversion of gas into electric energy loss, ClcdCost for conversion of gas into heat energy loss, ClceFor the cost of gas refrigeration loss, t3 is the multi-energy coupling time within the comprehensive energy use time of the park;
determining transmission loss C of multiple energy sourcesleIs composed of
Wherein C isleaFor transmission loss of electric energy, ClebFor transmission loss of gas energy, ClecFor heat energy transmission loss, CledFor transmission loss of cold energy, CleeFor water transmission loss, t4 is the transmission time of multiple energy sources within the usage time of the comprehensive energy sources in the park; (ii) a
Determining energy storage cost C for a campussIs composed of
Wherein C issaFor the operating cost of the accumulator, CscFor the operating costs of the heat storage apparatus, CsdFor the operating cost of the energy storage device, t5 is the storage time of the energy within the comprehensive energy use time of the park;
global statistical mean E [ β ] for deep learning]Is composed of
Where β is the historical control strategy, mtThe historical control times;
global statistical variance Var [ β]Is composed of
The deep learning batch normalization correction factor △ h is
Obtaining the total running cost C of the park comprehensive energy system based on the deep learning model and the dynamic game algorithmtThe minimum min Ct of (c) is:
△ thereinf is the adjustable energy flow, tzThe comprehensive energy utilization time of the park is prolonged.
The scheduling model for the dynamic game satisfies the following constraints:
energy consumption load P of parkmSatisfies the following conditions: pm＝Pnp+Pp+Ps-Plc-Ple；
Wherein P isnpIs the energy flow, P, generated by the new energy in the park per unit timepIs a stream of energy purchased per unit time from an external energy company, PsIs the energy flow stored per unit time, PlcIs the energy flow of the multi-energy coupling loss in unit time, PleIs the energy flow of the multi-energy transmission loss in unit time;
consumption load electric energy P of garden in unit timeaQi energy PbHeat energy PcCold energy PdAnd water energy PeRespectively satisfying the constraint conditions:
Pa＝Pnpa+Pnpb+Pnpc+Ppa+Psa+(Plcd/m％-Plcd)-Plca/m％-Plcb/m％-Plea；
Pb＝Ppb-Plcc/m％-Plcd/m％-Plce/m％-Pleb；
Pc＝Ppc+(Plca/m-Plca)+(Plcd/m-Plcd)+Psc-Plec；
Pd＝Ppd+(Plcb/m-Plcb)+(Plce/m-Plce)+Pse-Plee；
Pe＝Ppe-Plee；
wherein m% is the loss rate, Pnpa、Pnpb、PnpcRespectively representing the energy flow of photovoltaic power generation, the energy flow of renewable energy power generation and the energy flow of wind power generation in unit time, Ppa、Ppb、Ppc、Ppd、PpeAre respectively provided withThe energy flow of a power grid company, the energy flow of a gas company, the energy flow of a heating company, the energy flow of a cooling company and the energy flow of a water company which are outside in a unit time are expressed; plca、Plcb、Plcc、Plcd、PlceRespectively representing energy flow of electric energy conversion into heat loss, energy flow of electric energy refrigeration loss, energy flow of gas conversion into electric energy loss, energy flow of gas conversion into heat energy loss and energy flow of gas refrigeration loss in unit time; plea、Pleb、Plec、Pled、PleeRespectively representing the energy flow of electric energy transmission loss, the energy flow of gas energy transmission loss, the energy flow of heat energy transmission loss, the energy flow of cold energy transmission loss and the energy flow of water energy transmission loss in unit time; psa、Psc、PsdRespectively representing the energy flow of the storage battery, the energy flow of the heat storage device and the energy flow of the cold storage device in unit time;
energy flow P of photovoltaic power generation in unit timenpaSatisfy Pnpa.min≤Pnpa+ΔPn≤Pnpa.max(ii) a Wherein P isnpa.minAnd Pnpa.maxRespectively representing the lower limit and the upper limit of the generated power of the new energy unit of the park, △ PnIndicating the power corresponding to the adjustable load;
energy flow P for generating electricity from renewable energy sources in unit timenpbSatisfy Pnpb.min≤Pnpb+ΔPn≤Pnpb.max(ii) a Wherein P isnpb.minAnd Pnpb.maxRespectively representing the lower limit and the upper limit of the generating power of the park renewable energy source generating set;
energy flow P of wind power generation in unit timenpcSatisfy Pnpc.min≤Pnpc+ΔPn≤Pnpc.max(ii) a Wherein P isnpc.minAnd Pnpc.maxRespectively representing the lower limit and the upper limit of the generated power of the park wind generating set;
energy flow P of the accumulator per unit timesaSatisfy Psa.min≤Psa+ΔPs≤Psa.max(ii) a Wherein psa.min and psa.max represent the battery capacity, respectivelyLower and upper limits of the amount, △ Ps being the adjustable storage capacity;
energy flow P of the heat storage device per unit timescSatisfy Psc.min≤Psc+ΔPs≤Psc.max；
Energy flow P of cold storage device in unit timesdSatisfy Psd.min≤Psd+ΔPs≤Psd.max；
Energy flow P for converting electric energy into heat loss in unit timelcaSatisfy Plca.min≤(Plca/m％-Plca)+ΔPlc≤Plca.minIn which P islca.minAnd Plca.maxRespectively representing the lower and upper limits of the power to convert electrical energy into heat, △ PlcIs an adjustable storage capacity;
energy flow P of electric energy refrigeration loss in unit timelcbSatisfy Plcb.min≤(Plcb/m％-Plcb)+ΔPlc≤Plcb.minIn which P islcb.minAnd Plcb.maxRespectively representing the lower limit and the upper limit of the power of electric energy refrigeration;
the energy flow Plcc of the gas conversion into electric energy loss per unit time satisfies Plcc.min≤(Plcc/m％-Plcc)+ΔPlc≤Plcc.minIn which P islcc.minAnd Plcc.maxRespectively representing the lower limit and the upper limit of the power of the gas converted into the electric energy;
energy flow P lost by conversion of gas into heat energy per unit timelcdSatisfy Plcd.min≤(Plcd/m％-Plcd)+ΔPlc≤Plcd.minIn which P islcd.minAnd Plcd.maxRespectively representing the lower limit and the upper limit of the power of converting the gas into the heat energy;
energy flow P of gas refrigeration loss per unit timelceSatisfy Plce.min≤(Plce/m％-Plce)+ΔPlc≤Plce.minIn which P islce.minAnd Plce.maxRespectively representing the lower limit and the upper limit of the power of gas refrigeration;
but onlyEnergy flow P of a power grid company outside of the time-in-placepaGas company's energy flow PpbEnergy flow P of a heating companypcEnergy flow P of a cooling companypdAnd energy flow P of water utilitiespeSatisfy the requirement of
Wherein P ispa.max、Ppb.max、Ppc.max、Ppd.max、Ppe.maxThe upper limit of the transmission power of the external power grid company, the upper limit of the transmission power of the gas company, the upper limit of the transmission power of the heat supply company, the upper limit of the transmission power of the cold supply company and the upper limit of the transmission power of the water company are respectively shown.
The working principle is as follows: in this scheme, to the comprehensive dispatch of the multipotency source in the garden (synthesize energy dispatch promptly), the trouble problem of multipotency source equipment has at first been considered, and the guarantee is when breaking down, and under the prerequisite that the energy can be supplied with to the energy supply system in the garden, the loss that the reduction trouble brought, then acquires the most leading energy loss in the garden, and in this scheme, focus on the cost of consumption C of the inside new forms of energy in gardennpConsumption cost of external energy in park CpMultiple energy source coupling loss cost ClcTransmission loss C of multiple energy sourcesleEnergy storage cost C of the parksThe five maximum energy consumptions finally determine the total operation cost C of the park integrated energy systemtMinimum value of (3 min C)tBecause the energy loss in the park is dynamically changed, in the dynamic game model, the back participants can be adjusted according to the selection of the front participants, so the scheme adopts the dynamic game model, when the energy loss of a certain type changes, in the scheduling model of the dynamic game, the subsequent cost can be adjusted to meet the constraint condition, and meanwhile, the minimum total running cost min C in the dynamic game model is found out under the condition of meeting the constraint conditiontIn addition, a deep learning model is used for establishing a standardized correction factor △ h, and the standardized correction factor △ h can take historical control strategies into consideration, so thatIt is simpler to adjust the control strategy so that a minimum overall operating cost min C can be achieved in the model regardless of changes in certain operating costs (i.e., participants) in the dynamic gaming modeltFor parks without some energy sources in the model, the corresponding energy sources and the corresponding energy sources in the formula are removed, and for these parks, if the scheme of the invention is used, the protection scope of the invention also falls.
The method of the scheme can also be used without creatively developing a park comprehensive energy scheduling model, the architecture is shown as figure 2, and the method of the scheme for the system use of the model also needs to be included in the protection scope of the scheme.
Other parts of this embodiment are the same as those of embodiment 1, and thus are not described again.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (8)
1. A park comprehensive energy scheduling method considering multi-energy coupling loss is characterized by comprising the following steps: the method comprises the following steps:
collecting measurement data of multi-energy equipment in a park;
analyzing the running state of the multi-energy equipment, and finding out a linkage action protection scheme corresponding to the minimum fault loss when a fault occurs;
judging whether the multi-energy equipment fails, if so, performing next multi-energy coupling loss analysis, and if not, jumping to multi-energy scheduling game analysis;
multi-energy coupling loss analysis: obtaining the comprehensive coupling loss rate of the energy sources in the park in all coupling processes by adopting matrix calculation;
and (3) comprehensive calculation of multi-energy flow: calculating to obtain the multi-energy estimation states of all the energy sources by combining the transmission and coupling loss of the energy flows of various energy sources in the park;
and (3) multi-energy scheduling risk assessment: obtaining the multi-energy scheduling risk according to the number of switches in the park, the failure probability of the switches and the failure repair rate;
multi-energy scheduling game analysis: and carrying out dynamic game analysis on the influence factors of multi-energy scheduling in the park to determine the optimal comprehensive energy scheduling scheme with the minimum overall operation cost.
2. The campus integrated energy scheduling method considering multi-energy coupling loss of claim 1, wherein: the method for collecting the measurement data of the multi-energy equipment in the park comprises the following steps: the comprehensive energy measurement and control terminal of the park is adopted for networking, distributed resource characteristic perception, fault recognition, full topology connectivity analysis and multi-energy device control of different energy devices in the park are achieved in a multi-concurrent acquisition mode, and data support is provided for subsequent steps.
3. The campus integrated energy scheduling method considering multi-energy coupling loss of claim 1, wherein: the method for analyzing the running state of the multi-energy equipment comprises the following steps: loss of failure LjThe minimum is:
wherein m is the number of energy elements in the garden, n is the number of coupling elements, the element J has two states of normal Ja and abnormal Jb, Jk represents the fault probability of the element J, and Lc represents the economic loss brought by the fault.
4. The campus integrated energy scheduling method considering multi-energy coupling loss of claim 1, wherein: the method for analyzing the coupling loss of the multiple energy sources comprises the following steps: establishing a total energy coupling matrix ResIs composed of
Wherein, Ω m is coupling input energy, Ω n is coupling output energy, Rea is electric energy converted into heat loss electric energy, Reb is electric energy lost by electric energy refrigeration, Rec is gas energy converted into electric energy loss, Red is gas energy converted into heat loss gas energy, Ree is gas energy lost by gas refrigeration, the number of coupling times is n, and the coupling time is t;
the integrated coupling loss rate Des is
Wherein Ries is the total output amount of electric energy, heat energy and refrigeration energy in the garden.
5. The campus integrated energy scheduling method considering multi-energy coupling loss of claim 1, wherein: the method for comprehensively calculating the multi-energy flow comprises the following steps: the minimum value of the multi-energy estimation state F (x) is
Wherein
For multi-energy measurement data, x is the state value, U (x) is the measurement function, η is the measurement error, and t is the measurement time.
6. The campus integrated energy scheduling method considering multi-energy coupling loss of claim 1, wherein: the method for evaluating the risk of multi-energy scheduling comprises the following steps: multiple energy scheduling risk beta of
Wherein n is the number of the controllable switches in the park, gamma is the probability of the controllable switches failing, l is the repair probability corresponding to the failure, sigma is the probability correction factor of the failure, and beta is the multi-energy scheduling risk.
7. The campus integrated energy scheduling method considering multi-energy coupling loss of claim 1, wherein: the method for analyzing the multi-energy scheduling game comprises the following steps:
determining the cost C of new energy consumption inside a parknpIs composed of
Wherein C isnpaCost for photovoltaic power generation, CnpbCost of electricity generation for renewable energy sources, CnpcFor the cost of wind power generation, t1 is the consumption time of new energy in the park within the comprehensive energy use time of the park;
determining the consumption cost C of external energy in a parkpIs composed of
Wherein C ispaCost of electricity purchase to the grid company, CpbCost to purchase gas to gas companies, CpcCost of purchasing heat to the heating company, CpdTo purchase refrigeration costs from the cooling companies, CpeTo purchase water cost to the water utility company, t2 is the consumption time of external energy within the comprehensive energy use time of the park;
determining multi-energy coupling loss cost ClcIs composed of
Wherein C islcaCost of losses for conversion of electrical energy into heat, ClcbCost of electric energy consumption for refrigerationlccFor conversion of gas into loss of electric energyCost of consumption, ClcdCost for conversion of gas into heat energy loss, ClceFor the cost of gas refrigeration loss, t3 is the multi-energy coupling time within the comprehensive energy use time of the park;
determining transmission loss C of multiple energy sourcesleIs composed of
Wherein C isleaFor transmission loss of electric energy, ClebFor transmission loss of gas energy, ClecFor heat energy transmission loss, CledFor transmission loss of cold energy, CleeFor water transmission loss, t4 is the transmission time of multiple energy sources within the usage time of the comprehensive energy sources in the park; (ii) a
Determining energy storage cost C for a campussIs composed of
Wherein C issaFor the operating cost of the accumulator, CscFor the operating costs of the heat storage apparatus, CsdFor the operating cost of the energy storage device, t5 is the storage time of the energy within the comprehensive energy use time of the park;
global statistical mean E [ β ] for deep learning]Is composed of
Where β is the historical control strategy, mtThe historical control times;
global statistical variance Var [ β]Is composed of
The deep learning batch normalization correction factor △ h is
Based on deep learning model combined with dynamic game algorithmTotal operating cost C of integrated energy system to parktThe minimum min Ct of (c) is:
wherein △ f is the adjustable energy flow, tzThe comprehensive energy utilization time of the park is prolonged.
8. The method of claim 7, wherein the method comprises: the scheduling model for the dynamic game satisfies the following constraints:
energy consumption load P of parkmSatisfies the following conditions: pm＝Pnp+Pp+Ps-Plc-Ple；
Wherein P isnpIs the energy flow, P, generated by the new energy in the park per unit timepIs a stream of energy purchased per unit time from an external energy company, PsIs the energy flow stored per unit time, PlcIs the energy flow of the multi-energy coupling loss in unit time, PleIs the energy flow of the multi-energy transmission loss in unit time;
consumption load electric energy P of garden in unit timeaQi energy PbHeat energy PcCold energy PdAnd water energy PeRespectively satisfying the constraint conditions:
Pa＝Pnpa+Pnpb+Pnpc+Ppa+Psa+(Plcd/m％-Plcd)-Plca/m％-Plcb/m％-Plea；
Pb＝Ppb-Plcc/m％-Plcd/m％-Plce/m％-Pleb；
Pc＝Ppc+(Plca/m-Plca)+(Plcd/m-Plcd)+Psc-Plec；
Pd＝Ppd+(Plcb/m-Plcb)+(Plce/m-Plce)+Pse-Plee；
Pe＝Ppe-Plee；
wherein m% is the loss rate, Pnpa、Pnpb、PnpcRespectively representing the energy flow of photovoltaic power generation, the energy flow of renewable energy power generation and the energy flow of wind power generation in unit time, Ppa、Ppb、Ppc、Ppd、PpeRespectively representing the energy flow of an external power grid company, the energy flow of a gas company, the energy flow of a heat supply company, the energy flow of a cold supply company and the energy flow of a water service company within a unit time; plca、Plcb、Plcc、Plcd、PlceRespectively representing energy flow of electric energy conversion into heat loss, energy flow of electric energy refrigeration loss, energy flow of gas conversion into electric energy loss, energy flow of gas conversion into heat energy loss and energy flow of gas refrigeration loss in unit time; plea、Pleb、Plec、Pled、PleeRespectively representing the energy flow of electric energy transmission loss, the energy flow of gas energy transmission loss, the energy flow of heat energy transmission loss, the energy flow of cold energy transmission loss and the energy flow of water energy transmission loss in unit time; psa、Psc、PsdRespectively representing the energy flow of the storage battery, the energy flow of the heat storage device and the energy flow of the cold storage device in unit time;
energy flow P of photovoltaic power generation in unit timenpaSatisfy Pnpa.min≤Pnpa+ΔPn≤Pnpa.max(ii) a Wherein P isnpa.minAnd Pnpa.maxRespectively representing the lower limit and the upper limit of the generated power of the new energy unit of the park, △ PnIndicating the power corresponding to the adjustable load;
energy flow P for generating electricity from renewable energy sources in unit timenpbSatisfy Pnpb.min≤Pnpb+ΔPn≤Pnpb.max(ii) a Wherein P isnpb.minAnd Pnpb.maxRespectively representing the lower limit and the upper limit of the generating power of the park renewable energy source generating set;
energy flow P of wind power generation in unit timenpcSatisfy Pnpc.min≤Pnpc+ΔPn≤Pnpc.max(ii) a Wherein P isnpc.minAnd Pnpc.maxRespectively representing the lower limit and the upper limit of the generated power of the park wind generating set;
energy flow P of the accumulator per unit timesaSatisfy Psa.min≤Psa+ΔPs≤Psa.maxWherein psa.min and psa.max represent the lower and upper limits of the battery capacity, △ PsTo adjust the storage capacity;
energy flow P of the heat storage device per unit timescSatisfy Psc.min≤Psc+ΔPs≤Psc.max；
Energy flow P of cold storage device in unit timesdSatisfy Psd.min≤Psd+ΔPs≤Psd.max；
Energy flow P for converting electric energy into heat loss in unit timelcaSatisfy Plca.min≤(Plca/m％-Plca)+ΔPlc≤Plca.minIn which P islca.minAnd Plca.maxRespectively representing the lower and upper limits of the power to convert electrical energy into heat, △ PlcIs an adjustable storage capacity;
energy flow P of electric energy refrigeration loss in unit timelcbSatisfy Plcb.min≤(Plcb/m％-Plcb)+ΔPlc≤Plcb.minIn which P islcb.minAnd Plcb.maxRespectively representing the lower limit and the upper limit of the power of electric energy refrigeration;
the energy flow Plcc of the gas conversion into electric energy loss per unit time satisfies Plcc.min≤(Plcc/m％-Plcc)+ΔPlc≤Plcc.minIn which P islcc.minAnd Plcc.maxRespectively representing the lower limit and the upper limit of the power of the gas converted into the electric energy;
energy flow P lost by conversion of gas into heat energy per unit timelcdSatisfy Plcd.min≤(Plcd/m％-Plcd)+ΔPlc≤Plcd.minIn which P islcd.minAnd Plcd.maxRespectively representing the lower limit and the upper limit of the power of converting the gas into the heat energy;
energy flow P of gas refrigeration loss per unit timelceSatisfy Plce.min≤(Plce/m％-Plce)+ΔPlc≤Plce.minIn which P islce.minAnd Plce.maxRespectively representing the lower limit and the upper limit of the power of gas refrigeration;
and energy flow P of external grid company within unit timepaGas company's energy flow PpbEnergy flow P of a heating companypcEnergy flow P of a cooling companypdAnd energy flow P of water utilitiespeSatisfy the requirement of
Wherein P ispa.max、Ppb.max、Ppc.max、Ppd.max、Ppe.maxThe upper limit of the transmission power of the external power grid company, the upper limit of the transmission power of the gas company, the upper limit of the transmission power of the heat supply company, the upper limit of the transmission power of the cold supply company and the upper limit of the transmission power of the water company are respectively shown.
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| GR01 | Patent grant |